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With the prevalence of cloud computing, privacy-preserving database outsourcing has been spotlighted. To preserve both data privacy and query privacy from adversaries, databases need to be encrypted before being outsourced to the cloud. However, there exists the only kNN classification scheme over the encrypted databases in the cloud. Because the existing scheme suffers from high computation overhead,...
As the outsourcing of mobile sensitive data has been highlighted, data encryption schemes are required to protect the mobile sensitive data. Accordingly, it is necessary to develop not only a distributed index structure to efficiently manage the large amount of encrypted data, but also a query processing scheme over the encrypted data. To the best of our knowledge, there has been no research on index...
With the adoption of cloud computing, database outsourcing has emerged as a new platform. Due to the serious privacy concerns in the cloud, database need to be encrypted before being outsourced to the cloud. Therefore, various kNN query processing techniques have been proposed over the encrypted database. However, the existing schemes are either insecure or inefficient. So, we, in this paper, propose...
Location-Based Services (LBSs) are becoming popular due to the advances in mobile networks and positioning capabilities. When a user sends a query with his exact location to the LBS server, the server processes the query and returns Points of Interest (POIs) to the user. Providing user's exact location to the LBS server may lead revealing his private information to unauthorized parties (e.g., adversaries)...
Many applications require reliable and trustful data aggregation in Wireless Sensor Networks (WSNs). In this paper, we propose a new scheme to achieve data privacy and integrity protection in data aggregation for WSNs, called Preserving Privacy and Assuring Integrity (PPAI) scheme. For this, before data transmission, the PPAI scheme blurs the original sampled data of a sensor node by randomly breaking...
Since wireless sensor networks (WSNs) are resources- constrained, it is very essential to gather data efficiently so that the life of the networks can be prolonged. Data aggregation can conserve a significant amount of energy by minimizing the transmission costs in terms of the number of data packets. On the other hand, many applications require privacy of the sampled data protecting their integrity...
Many wireless sensor network (WSN) applications require privacy of the sampled data during transmission from the source nodes to a data collecting device, say a query server. Providing an efficient data aggregation scheme with preserving data privacy is a challenging problem in WSNs. Although the secure data aggregation in WSNs has been well studied in the recent years, there exists a little work,...
Many applications require the privacy of the sampled data while they travel from the source sensor nodes to data collecting device, say data sink. Providing an efficient data aggregation scheme with preserving data privacy is a challenging problem in the research of wireless sensor networks (WSNs). Although the secure data aggregation in WSNs has been well studied in the recent years, there exists...
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